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T H E E X T E N S I O N M O D E L O F S U S TA I N A B L E

M A N A G E M E N T O F I N D U S T R I A L E N T E R P R I S E S

ALEKSANDR N. KUZMINOV,

Doctor of Economics, Professor of the Department of Human Resource Management, Southern Federal University, Rostov-on-Don, e-mail: mr.azs@mail.ru

NATALYA G. KOROSTIEVA,

Post-Graduate Student, Southern Federal University, Rostov-on-Don, e-mail: NataliaKorostieva@rostov.rshb.ru

SERGEY V. FILIPPOV,

Candidate of Economic Sciences (PhD), Associate Professor, Platov South-Russian State Polytechnic University (NPI), Novocherkassk,

e-mail: filipps@bk.ru

The paper discusses the problem of assessing the sustainability of an industrial enterprise in the context of a balanced use of limited resources. As a conceptual model approach is adopted to «3S» consider enterprise as a space that allows to combine different approaches to the sustainable development of enterprises at all stages of the life cycle. It is shown that the stability of viewing each space element is methodologically advisable to rely on system constraints, describing the boundary condition of temporary equilibrium, the achievement of which the local period synergistically causes some balance the allocation of limited resources of the enterprise. Financial stability, reflecting the nominal effective use of resources at all stages of the life cycle can be one of the proxy indicators for rapid assessment of the interaction of all subsystems, which optimality criterion proposed system coenoses restrictions. The above statement of the problem made it possible to formulate the basic requirements for the content criteria-based device diagnosis of possible states and justify the use coenosis sustainability as a synthetic approach that allows mathematically describe the self-organizing systems in the dynamics within the limits of survival. The algorithm of the mathematical and statistical evaluation of the financial resources of states, reflecting the degree of stability of the company as a consumer of scarce resources over time is offered.

Keywords: stability of industrial enterprises; self-organizing systems; coenoses; financial resources; Dynamic General Equilibrium; General Equilibrium.

JEL: D50, C15, G32.

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Alsafi Y. and Vyatkin V. (2010). Ontology-based Reconfiguration Agent for Intelligent Mechatronic Systems in Flexible Manufacturing // Robotics and Computer-Integrated Manufacturing, vol. 26, no. 4, pp. 381-391.

Atzori L., Lera A. and Morabito G. (2010). The Internet of Things: A Survey // Computer Networks, vol. 54, no. 15, pp. 2787-2805.

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Berger T., Deneux D., Bonte T., Cocquebert E. and Trentesaux D. (2015). Arezzo-flexible Manufacturing System: A Generic Flexible Manufacturing System Shop Floor Emulator Approach for High-Level Control Virtual Commissioning // Concurrent Engineering, vol. 23, no. 4, pp. 333-342.

Bergstrom J., van Winsen R. and Henriqson E. (2015). On the Rationale of Resilience in the Domain of Safety: A Literature Review // Reliability Engineering & System Safety, vol. 141, Special Issue on Resilience Engineering, pp. 131-141.

Borangiu T., Thomas A. and Trentesaux D. (eds.) (2012). Service Orientation in Holonic and Multi-Agent Manufacturing Control // Studies in Computational Intelligence. Berlin, New York: Springer, pp. 284-296.

Conference on Financial Stability & Asset Management. (2016). Boston University Metcalf Trustee Center. (http://sites.bu.edu/fsam/_content - : 20.08.2016).

Ehrenfeld J. R. (2004). Can Industrial Ecology be the «Science of Sustainability?» // Journal of Industrial Ecology, vol. 8, no. 1-2, pp. 1-3.

Garetti M. and Taisch M. (2012). Sustainable Manufacturing: Trends and Research Challenges // Production Planning & Control, vol. 23, no. 2-3, pp. 83-104.

Giret A. and Botti V. (2009). Engineering Holonic Manufacturing Systems // Computers in Industry, vol. 60, no. 6, pp. 428-440.

Graedel T. E. and Allenby B. R. (2002). Industrial Ecology. Upper Saddle River: Prentice Hall.

Graedel T. E. and Allenby B. R. (2010). Industrial Ecology and Sustainable Engineering. Upper Saddle River, NJ: Prentice Hall.

Kriaa S., Pietre-Cambacedes L., Bouissou M. and Halgand Y. (2015). A Survey of Approaches Combining Safety and Security for Industrial Control Systems // Reliability Engineering & System Safety, vol. 139, pp. 156-178.

Lee J., Bagheri B. and Kao H.-A. (2015). A Cyber-Physical Systems Architecture for Industry 4.0-based Manufacturing Systems // Manufacturing Letters, vol. 3, pp. 18-23.

Leitao P., Colombo A. W. and Karnouskos S. (2016). Industrial Automation Based on Cyber-Physical Systems Technologies: Prototype Implementations and Challenges // Computers in Industry, vol. 81, pp. 11-25.

McFarlane D., Giannikas V., Wong A. C. Y. and Harrison M. (2013). Product Intelligence in Industrial Control: Theory and Practice // Annual Reviews in Control, vol. 37, no. 1, pp. 69-88.

Prabhu V. V., Trentesaux D. and Taisch M. (2015). Energy-aware Manufacturing Operations // International Journal of Production Research, vol. 53, no. 23, pp. 6994-7004.

Sanislav T., Mois G. and Miclea L. (2016). An Approach to Model Dependability of Cyber-Physical Systems // Microprocessors and Microsystems, vol. 41, pp. 67-76.

Trentesaux D. (2009). Distributed Control of Production Systems // Engineering Applications of Artificial Intelligence, vol. 22, no. 7, pp. 971-978.

Trentesaux D. and Millot P. (2016). A human-centered Design to Break the Myth of the «Magic Human» in Intelligent Manufacturing Systems // Service Orientation in Holonic and Multi-Agent Manufacturing, Studies in Computational Intelligence. Berlin, New York: Springer, pp. 103-114.

United Nations (1987). Report of the World Commission on Environment and Development: Our Common Future. (http://www.un-documents.net/our-common-future -

: 20.08.2016).

Xu X. (2012). From Cloud Computing to Cloud Manufacturing // Robotics and Computer-Integrated Manufacturing, vol. 28, no. 1, pp. 75-86.

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REFERENCES

Alsafi Y. and Vyatkin V. (2010). Ontology-based Reconfiguration Agent for Intelligent Mechatronic Systems in Flexible Manufacturing. Robotics and Computer-Integrated Manufacturing, vol. 26, no. 4, pp. 381-391.

Atzori L., Lera A. and Morabito G. (2010). The Internet of Things: A Survey. Computer Networks, vol. 54, no. 15, pp. 2787-2805.

Benard V., Cauffriez L. and Renaux D. (2008). The Safe-SADT Method for Aiding Designers to Choose and Improve Dependable Architectures for Complex Automated Systems. Reliability Engineering & System Safety, vol. 93, no. 2, pp. 179-196.

Berger T., Deneux D., Bonte T., Cocquebert E. and Trentesaux D. (2015). Arezzo-flexible Manufacturing System: A Generic Flexible Manufacturing System Shop Floor Emulator Approach for High-Level Control Virtual Commissioning. Concurrent Engineering, vol. 23, no. 4, pp. 333-342.

Bergstrom J., van Winsen R. and Henriqson E. (2015). On the Rationale of Resilience in the Domain of Safety: A Literature Review. Reliability Engineering & System Safety, vol. 141, Special Issue on Resilience Engineering, pp. 131-141.

Borangiu T., Thomas A. and Trentesaux D. (eds.) (2012). Service Orientation in Holonic and Multi-Agent Manufacturing Control. Studies in Computational Intelligence. Berlin, New York, Springer, pp. 284-296.

Conference on Financial Stability & Asset Management. (2016). Boston University Metcalf Trustee Center. (http://sites.bu.edu/fsam/_content - Access Date: 20.08.2016).

Dashut E. S. (2014). Methodological Approaches to Assessing the Potential Long-Term Economic and Technological Development of Processing Industries (For Example, Aluminum and Petroleum Industry). Diss. of the Candidate of Economic Sciences (PhD). IEF RAS, Moscow. (In Russian).

Ehrenfeld J. R. (2004). Can Industrial Ecology be the «Science of Sustainability?». Journal of Industrial Ecology, vol. 8, no. 1-2, pp. 1-3.

Filippov S. V. (2013a). Evolution of the Approaches to the Industrial Enterprises’ Management, Based on a Sustainable Development Concept. The Bulletin of the South-Russian State Technical University (NPI), no. 3, pp. 100-103. (In South-Russian).

Filippov S. V. (2013b). Coenoses Mechanisms For Sustainable Development Of Industrial Enterprises. Diss. of the Candidate of Economic Sciences (PhD). Don State Technical University, Rostov-on-Don, 190 p. (In Russian).

Filippov S. V., Djuha V. M. and Kuz'minov A. N. (2012). Instruments of Engineering-Economic Stabilization of Production Systems. Vestnik of Don State Technical University, vol. 12, no. 1-2(62), pp. 173-181. (In Russian).

Garetti M. and Taisch M. (2012). Sustainable Manufacturing: Trends and Research Challenges. Production Planning & Control, vol. 23, no. 2-3, pp. 83-104.

Giret A. and Botti V. (2009). Engineering Holonic Manufacturing Systems. Computers in Industry, vol. 60, no. 6, pp. 428-440.

Graedel T. E. and Allenby B. R. (2002). Industrial Ecology. Upper Saddle River: Prentice Hall.

Graedel T. E. and Allenby B. R. (2010). Industrial Ecology and Sustainable Engineering. Upper Saddle River, NJ, Prentice Hall.

Kriaa S., Pietre-Cambacedes L., Bouissou M. and Halgand Y. (2015). A Survey of Approaches Combining Safety and Security for Industrial Control Systems. Reliability Engineering & System Safety, vol. 139, pp. 156-178.

Kudrin B. I. (2006). Classic Technical Coenoses. General and Applied Cenology, vol. 31. Coenoses Research. Tomsk, Publ. House of TSU - Center for System Studies, 220 p. (In Russian).

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Lee J., Bagheri B. and Kao H.-A. (2015). A Cyber-Physical Systems Architecture for Industry 4.0-based Manufacturing Systems. Manufacturing Letters, vol. 3, pp. 18-23. Leitao P., Colombo A. W. and Karnouskos S. (2016). Industrial Automation Based on Cyber-Physical Systems Technologies: Prototype Implementations and Challenges. Computers in Industry, vol. 81, pp. 11-25.

McFarlane D., Giannikas V., Wong A. C. Y. and Harrison M. (2013). Product Intelligence in Industrial Control: Theory and Practice. Annual Reviews in Control, vol. 37, no. 1, pp. 69-88.

Prabhu V. V., Trentesaux D. and Taisch M. (2015). Energy-aware Manufacturing Operations. International Journal of Production Research, vol. 53, no. 23, pp. 6994-7004.

Sanislav T., Mois G. and Miclea L. (2016). An Approach to Model Dependability of Cyber-Physical Systems. Microprocessors and Microsystems, vol. 41, pp. 67-76.

Trentesaux D. (2009). Distributed Control of Production Systems. Engineering Applications of Artificial Intelligence, vol. 22, no. 7, pp. 971-978.

Trentesaux D. and Millot P. (2016). A human-centered Design to Break the Myth of the «Magic Human» in Intelligent Manufacturing Systems. Service Orientation in Holonic and Multi-Agent Manufacturing, Studies in Computational Intelligence. Berlin, New York, Springer, pp. 103-114.

Tyaglov S. G. and Kuz'minov A. N. (2016). The Self-Organization Management Model of Import Substitution in the Region. Bulletin of the Russian Economic University named after G. V. Plehanov, no. 1(85), pp. 122-129. (In Russian).

Tyaglov S. G., Kuz'minov A. N. and Korostieva N. G. (2015). Coenoses Risk Assessment in Industry (Resource Specificity). Journal of Economic Regulation, vol. 6, no. 3, pp. 138-147. (In Russian).

United Nations (1987). Report of the World Commission on Environment and Development: Our Common Future. (http://www.un-documents.net/our-common-future - Access Date: 20.08.2016).

Xu X. (2012). From Cloud Computing to Cloud Manufacturing. Robotics and Computer-Integrated Manufacturing, vol. 28, no. 1, pp. 75-86.

Referências

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